Using RStudio, make and compare two graphics that address the first followup question for Project One, namely: "Does the number of site visits by day 7 differ between the two posting models?"

Since the associated variables (`site_visits_7` and `version`) are quantitative and categorical, you might consider creating a set of boxplots, histograms, or density/ridge plots, but you are not limited to these options. Your plots should be presentation-ready, not only for your supervisor but also company leadership. This includes appropriate labels, titles, themes, etc

This is part of the data set that needs to be used:

userid	site_visits_7	retention_1	retention_7	version	day_of_week
1711136	15	FALSE	FALSE	unlimited	Saturday
2964858	18	TRUE	FALSE	unlimited	Thursday
3433251	19	FALSE	FALSE	unlimited	Thursday
8452399	23	TRUE	TRUE	unlimited	Sunday
2854126	27	TRUE	TRUE	unlimited	Friday
2209313	23	TRUE	FALSE	unlimited	Thursday
4386206	13	TRUE	FALSE	unlimited	Friday
2475965	17	FALSE	FALSE	unlimited	Monday
5360385	24	TRUE	FALSE	unlimited	Monday
9171008	17	TRUE	TRUE	unlimited	Sunday
3747153	25	FALSE	FALSE	unlimited	Thursday
5584591	21	FALSE	FALSE	unlimited	Monday
9308466	27	TRUE	FALSE	unlimited	Sunday
4912334	17	FALSE	FALSE	unlimited	Saturday
5402319	22	FALSE	FALSE	unlimited	Thursday
2165188	16	FALSE	TRUE	unlimited	Friday
7203436	18	TRUE	FALSE	unlimited	Sunday
4093021	24	FALSE	FALSE	unlimited	Tuesday
7491353	13	FALSE	FALSE	unlimited	Monday
8082559	25	NA	NA	unlimited	Monday
224388	25	FALSE	FALSE	unlimited	Monday
6491807	18	FALSE	FALSE	limited	Tuesday
2302174	17	TRUE	FALSE	unlimited	Tuesday
7810742	28	FALSE	FALSE	unlimited	Tuesday
5970580	16	TRUE	FALSE	unlimited	Sunday
6053011	15	FALSE	FALSE	unlimited	Monday
6807369	24	NA	NA	unlimited	Thursday
2807863	17	FALSE	FALSE	unlimited	Monday
1703365	20	FALSE	TRUE	unlimited	Wednesday